Senior Data Engineer - AI & Analytics Infrastructure

What you'll do

• Design and build robust data pipelines using Microsoft Fabric, Databricks, and Azure Synapse Analytics.
• Develop scalable architectures to support AI and analytics use cases on enterprise data platforms.
• Implement data lakehouse patterns and medallion architecture for structured and unstructured data.
• Ensure data quality through validation frameworks and monitoring across the platform.
• Establish and enforce data governance standards including lineage tracking and access controls.

What we're looking for

• 7+ years of experience in designing and maintaining scalable batch and real-time data pipelines on Azure and AWS.
• Expertise in building and optimizing enterprise data platforms using Azure Data Factory, Databricks, Snowflake, and similar services.
• Development of robust ETL/ELT frameworks for analytics, reporting, operational, and AI/ML use cases across cloud environments.
• Implementation of scalable ingestion and transformation pipelines for various types of enterprise data sources.
• Support for trusted enterprise data foundations through data quality controls, metadata management, lineage tracking, and governance.
• Collaboration with AI engineers, architects, analysts, and business stakeholders to support analytics and generative AI initiatives.